Fierce Healthcare — a leading publication covering the business of healthcare — covers Darrow's AI-powered approach to ERISA violation detection, framing it specifically through the lens of health plan fiduciary risk rather than retirement plan litigation more broadly.
The article focuses on Shai Silbermann, a legal data specialist at Darrow, who explained during the company's June 2024 webinar how AI addresses two persistent failures in how retirement and health plans are managed. The first is selection: human resource professionals responsible for plan investment menus often choose underperforming funds without the analytical tools to evaluate them rigorously. The second is monitoring: once funds are selected, they are rarely reviewed against current benchmarks or peer plans. Both failures create the conditions for fiduciary breaches — and both are precisely the kind of systemic, data-intensive problem that AI is well-suited to surface.
Rather than requiring lawyers to manually sift through Form 5500 filings to identify problematic funds, Darrow's algorithms scan a much broader set of sources — news, SEC filings, social networks, and academic papers — to detect patterns of underperformance and excessive fees. The platform then creates an investment profile for each plan, enabling attorneys to benchmark it against comparable plans and identify deviations that may constitute actionable violations. The practical effect, Silbermann explained, is that research time is shortened and fewer violations fall through the cracks — allowing litigators to focus on strategy and advocacy rather than data assembly.
Fierce Healthcare grounds the story in a high-profile current case: Lewandowski v. Johnson & Johnson, in which plaintiffs allege that J&J failed to ensure prescription drug prices through its health plan were reasonable, resulting in mismanaged premiums, higher out-of-pocket costs, and suppressed wage growth. The case, cited by the O'Neill Institute for National and Global Health Law at Georgetown University, illustrates exactly the kind of health plan fiduciary exposure that Darrow's platform is designed to detect — and serves as a concrete example of why ERISA litigation is expanding beyond retirement plans into the health benefits space.
For Fierce Healthcare's audience of health system executives, payers, and plan administrators, the article carries a direct compliance message: the same AI tools that plaintiffs' attorneys are using to identify violations are also capable of helping employers understand their own exposure before litigation arrives.
